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Predictive Analytics in Smart Agriculture.
・ISBN 978-1-032-47950-7 2023 hard GB£ 145.99
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・ISBN 978-1-032-48898-1 2025 paper GB£ 55.99
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電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 978-1-003-39130-2
| 著者・編者 | Krishnan, Saravanan / Anand, A. Jose et al. (eds.), |
|---|---|
| 出版社 | (CRC Pr., US) |
| 出版年月 | 2023.12 |
| ページ数 | 302 pp. |
| 言語 | ENG |
| ニュース番号 | <705-330> |
解説
Predictive Analysis in Smart Agricultureexplores computational engineering techniques and applications in agriculture development. Recent technologies such as cloud computing, IoT, big data, and machine learning are focused on for smart agricultural engineering. The book also provides a case-oriented approach for IoT-based agricultural systems.
This book deals with all aspects of smart agriculture with state-of-the-art predictive analysis in the complete 360-degree view spectrum. The book includes the concepts of urban and vertical farming using Agro IoT systems and renewable energy sources for modern agriculture trends. It discusses the real-world challenges, complexities in Agro IoT, and advantages of incorporating smart technology. It also presents the rapid advancement of the technologies in the existing Agri model by applying the various techniques. Novel architectural solutions in smart agricultural engineering are the core aspects of this book. Several predictive analysis tools and smart agriculture are also incorporated.
This book can be used as a textbook for students in predictive analysis, agriculture engineering, precision farming, and smart agriculture. It can also be a reference book for practicing professionals in cloud computing, IoT, big data, machine learning, and deep learning working on smart agriculture applications.